Title: Statistical Methods for Materials Science : The Data Science of Microstructure Characterization
Publisher: CRC Press
Publication Date: 2019
Language: English
ISBN 10: 1498738206
ISBN 13: 9781498738200
Binding: Hardcover
Condition: As New

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Synopsis

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.

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Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef

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